I am using the bnlearn package to learn a network here the code below is showing the output in R Studio software. I am getting the error that the variable must have two or than two levels whereas all my variables are having levels more than two
> Settle1[,sapply(Settle1, nlevels) >1 ]
# A tibble: 98 × 6
Type StQ Conc ComC ComT ClmEnd
1 1 No 3 1 1 1
2 1 Yes 3 1 1 0
3 1 No 2 1 1 1
4 1 Yes 3 1 1 0
5 1 No 4 1 1 1
6 1 Yes 3 1 1 0
7 2 Yes 4 0 0 0
8 1 Yes 4 1 1 0
9 1 Yes 3 1 1 0
10 1 Yes 4 1 1 1
# ... with 88 more rows
> summary(Settle1)
Type StQ Conc ComC ComT ClmEnd
1:68 No :16 1: 4 0:20 0:21 0:64
2:27 Yes:82 2: 5 1:78 1:77 1:34
3: 3 3:41
4:40
5: 8
> settle.bn=hc(Settle1)
Error in check.data(x) : variable Type must have at least two levels.
please help me
Dear Questioner:
I can imagine that till now you have not got an entry because your question is stil too diffficult to allow simple understanding. I don't know how "hill climb" and "network" come together and what "R" means here. I suggest that you transform your question into a number of 3 or 4 simpler questions.
Best wishes and good luck, yours Meinert
@Meinert Mayer
Sir, I have modified my question. May you please have a look at it again
I meant a learning algorithm from 'hill climb'
And network meant a Bayesian Network.
I am using R-studio to do my analysis and for network learning, I am facing this problem.
May you please have a look at it again
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